Metis AI offers an AI‑powered maintenance management system that transforms equipment manuals, PLC code, and tribal knowledge into an interactive, searchable knowledge base. Integrated with existing CMMS, SCADA, and PLC controllers, it provides real‑time, step‑by‑step repair guidance through mobile, tablet, or voice interfaces to reduce mean time to repair and unplanned downtime.
Funding
Funding not disclosed
Founders
Product
Problem
Manufacturing facilities often experience unplanned equipment downtime because maintenance technicians lack immediate access to consolidated expertise, including equipment manuals, PLC logic, and undocumented tribal knowledge. Traditional CMMS tools do not provide real-time, step‑by‑step repair guidance, leading to longer mean time to repair (MTTR) and slow onboarding of new technicians.
Solution
Metis AI delivers an AI‑Powered Maintenance Management System (AMMS) that transforms existing maintenance documentation, PLC code (Ladder Logic, Structured Text), and captured tribal knowledge into an interactive knowledge base. The platform integrates with legacy CMMS, SCADA, and PLC controllers to ingest live machine data and control logic, then generates contextual, step‑by‑step repair instructions accessible via mobile, tablet, or voice interfaces. Technicians receive real‑time diagnostics and digital passdowns, reducing reliance on manual handoffs and accelerating troubleshooting. By automating routine documentation, scheduling, and passdown capture, the system shortens MTTR, lowers unplanned downtime, and speeds up technician onboarding while preserving institutional expertise.
Target Audience
The primary customers are maintenance managers and engineering teams at mid‑size to large manufacturing plants, process industries, and equipment OEMs that rely on CMMS/SCADA infrastructures and seek to improve equipment reliability and workforce productivity.
Features
- Automated ingestion engine that parses equipment manuals, SOPs, electrical diagrams, and PLC code to build a structured equipment ontology.
- Real‑time integration with CMMS, SCADA, and PLC controllers for live data streaming and control‑logic awareness.
- AI copilot delivering contextual, step‑by‑step repair guidance through mobile, tablet, or voice‑activated interfaces.
- Digital passdown module that records handoff details automatically, eliminating lost context between crews.
- Tribal‑knowledge capture workflow that records veteran technician insights via voice or text for continuous learning.
- Predictive maintenance analytics dashboard with OEE, downtime, and MTTR metrics, supporting data‑driven decision making.
- Secure, role‑based access and end‑to‑end encryption for all uploaded documentation and operational data.
- Extensible API layer for custom workflow integration and third‑party system interoperability.